Kirkland, WA, United States of America

Arash Shamaei

This inventor holds 2 USPTO granted patents and 8 published patent applications. Top assignee: Oracle International Corporation. Active years: 2026.

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 10.7

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Arash Shamaei: Innovator in Natural Language Processing

Introduction

Arash Shamaei is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of natural language processing, particularly in the area of named entity recognition. His innovative work has led to the development of techniques that enhance the transformation of natural language into meaning representation languages.

Latest Patents

Arash holds a patent titled "Techniques for using named entity recognition to resolve entity expression in transforming natural language to a meaning representation language." This patent outlines methods for accessing natural language text and utilizing machine learning models to predict class labels and operators for meaning representation. The techniques involve converting portions of natural language text into a resolved format, ultimately outputting syntax for the meaning representation language.

Career Highlights

Arash Shamaei is currently employed at Oracle International Corporation, where he continues to advance his research and development in natural language processing. His work is characterized by a strong focus on machine learning applications and their practical implications in technology.

Collaborations

Arash has collaborated with talented individuals such as Bhagya Gayathri Hettige and Diego Andres Cornejo Barra. These collaborations have contributed to the innovative projects he has undertaken in his career.

Conclusion

Arash Shamaei is a pioneering inventor whose work in natural language processing has the potential to transform how machines understand and process human language. His contributions are invaluable to the field and continue to inspire future innovations.

Profile summary based on public USPTO records.
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